Abstract
Consider a complex Hilbert space equipped with a positive (semidefinite) bounded linear operator on . The -joint numerical radius for two -bounded operators and is defined as Among other results, in this study we demonstrate that for and that . Additionally, we provide several inequalities related to the -numerical radius and -seminorm.
MSC:
47A12; 47B65; 26D15; 47A13; 47A30; 46C05
1. Introduction
In recent years, the study of operators on semi-Hilbert spaces has experienced a significant resurgence of interest driven by their ability to generalize classical Hilbert spaces and provide a versatile framework for operator theory, as evidenced by works such as [1,2,3,4,5,6,7,8,9,10,11,12,13]. Semi-Hilbert spaces are equipped with a semi-inner product induced by a positive operator , offering a robust and promising branch of functional analysis with applications in quantum theory and beyond. This framework enables the study of operators under modified inner products, facilitating the analysis of physical observables in quantum systems where traditional self-adjointness constraints are restrictive [8,10,11,12]. Specifically, physical states in a quantum system are represented on a Hilbert space with an inner product . Non-Hermitian quantum theory introduces a new inner product, defined as for all , relative to which operators are self-adjoint, thereby broadening the scope of quantum theory [13]. In quasi-Hermitian and pseudo-Hermitian quantum theory [8,10,11], is invertible, self-adjoint, and positive, while in indefinite metric quantum theory [12] is unitary and self-adjoint but not necessarily positive. This flexibility makes semi-Hilbert spaces critical for advancing operator theory and its applications in functional analysis, spectral theory, and quantum mechanics.
Mathematical inequalities, particularly norm and numerical radius inequalities, have received considerable attention in this context [9,14,15,16,17,18,19]. These inequalities provide insights into the geometric and spectral properties of operators, with significant implications for functional analysis. For instance, ref. [1] established metric properties of projections in semi-Hilbertian spaces, while [2] developed a framework for partial isometries that enhanced the understanding of operator behavior. The foundational theory of -normal operators was introduced in [20], while [3,4] respectively explored joint normality and closed operators in semi-Hilbertian spaces, offering results tied to the -joint numerical radius. Inequalities for the Euclidean operator radius of operator pairs in Hilbert spaces were derived in [17], inspiring generalizations to semi-Hilbert spaces in [16], which extended seminorm and numerical radius inequalities. Further advancements include bounds for the -joint numerical radius and -numerical radius of operator matrices [6,7], refinements of -numerical radius inequalities [21,22,23], and studies on operator matrices [9,24]. Orthogonality and norm-parallelism in the -numerical radius were examined in [25], while [15,26,27,28,29] provided additional bounds and generalizations, including -translatable radii. Structured operator matrices were addressed in [18,19,30], complementing these results. The works in [31,32,33] further solidify the importance of semi-Hilbert spaces in studying operator inequalities.
In this paper, we establish novel inequalities for the -joint numerical radius and -numerical radius of operators in a semi-Hilbert space, building on frameworks from [1,3,7,17]. We also investigate connections between these quantities and the -seminorm, providing refined bounds and applications to operator theory. Our results leverage the generalized structure of semi-Hilbert spaces to extend classical operator theory, offering new tools for spectral analysis and quantum theory applications.
Prior to presenting our findings, we clarify notations and concepts. Let be a complex Hilbert space with norm induced by . The -algebra of bounded linear operators on with identity I is denoted by . The sets and represent the non-negative and positive integers, respectively. Throughout this paper, an operator refers to an element of .
An operator is called positive, denoted , if for all and . For a positive operator , its square root is denoted by . Henceforth, we assume that is a nonzero positive operator inducing the semi-inner product
Observe that is called a semi-Hilbert space. Here, denotes the seminorm induced by the semi-inner product , defined by for all . It should be noted that is, in general, neither a normed space nor a complete one. However, it becomes a Hilbert space if and only if is injective and . Here, denotes the closure of with respect to the topology induced by the norm .
To illustrate, consider the complex field and let be the set of all sequences ( for all ) satisfying . The inner product on is defined by
It is well known that is a Hilbert space. We define the diagonal operator on by
where is the canonical basis of . It can be easily verified that is not injective and that . Therefore, the semi-Hilbert space is neither normed nor complete.
An operator is called an -adjoint of if
or equivalently, if . It is important to note that not every operator admits an -adjoint. Moreover, even when such an operator exists, it is not necessarily unique. This non-uniqueness introduces several difficulties in the study of operators on semi-Hilbert spaces.
In this framework, the celebrated Douglas range inclusion theorem [34] plays a crucial role. In essence, the Douglas theorem asserts that the operator equation admits a solution if and only if . Equivalently, there exists a constant such that
By applying the Douglas theorem, it is possible to identify from among the operators that possess -adjoints a distinguished operator denoted by . If stands for the Moore–Penrose pseudo-inverse of , then (see [2,32])
The operator shares certain properties with , but not all. For instance, the equality does not generally hold. However, it is valid precisely when . Furthermore, we have
An operator is said to be -selfadjoint if is selfadjoint. It was shown in [35], Lemma 1, that if is an -selfadjoint operator, then is also -selfadjoint and
Let and denote the sets of all operators that admit -adjoints and -adjoints, respectively. Using the Douglas theorem, it follows immediately that
and
Operators in are called -bounded. It is also worth noting that both and are subalgebras of , which are in general neither closed nor dense in the -algebra . Moreover, the proper inclusions
hold.
The -joint numerical radius of two -bounded operators and is defined in [36] as
In the same work [36], the third author established the following upper bounds:
and
Furthermore, the inequality in (3) is sharp.
The following upper bound also holds:
Additional lower and upper bounds were derived in [36]:
The constant is sharp in both inequalities.
Additionally, the following bounds were recalled:
with being a sharp constant.
In [36], the author also derived several inequalities involving the -Davis–Wielandt radius and the -numerical radii of -bounded operators.
2. Upper Bounds for -Euclidean Numerical Radius
R.P. Boas in 1941 [37], along with R. Bellman independently in 1944 [38], established a generalization of Bessel’s inequality; for vectors in an inner product space , the following inequality holds:
When , , and in (6), we obtain
for all .
In 2004, the second author [39] also obtained a result related to (6):
for any in the inner product space . Setting , , and in (9), we get
for all .
We require the following result for the -inner product and norm.
Lemma 1.
For all , we have
Proof.
Our first result is as follows:
Theorem 1.
For all and , the following inequalities hold:
and
Proof.
From (11), we obtain
for all .
Raising both sides to the power and leveraging the convexity of the power function for , we get
for all .
Substituting , with and into (14), we obtain
Taking the supremum over , we get
which establishes (12).
Additionally, observe that
Using the convexity of the power function for exponents greater than 1, we have
From (15), we obtain
for with .
Corollary 1.
For all and , the following inequalities hold:
and
Proof.
We first note that by the parallelogram identity for the -inner product, we have
for .
Remark 1.
Setting in Theorem 1, we obtain the inequalities
which correspond to inequality (3) from the Introduction, along with
For , we derive
and
Similarly, setting in Corollary 1, we obtain
and
For , we get
and
We now require the following vector inequality for the -inner product and -seminorm.
Lemma 2.
For all , we have
The proof follows by applying (10) with , , and .
Furthermore, we have the following theorem.
Theorem 2.
For all and , the following inequalities hold:
Additionally, we have
Proof.
By setting , with and in (21), we obtain
Raising both sides to the power and applying the convexity of the power function, we get
for all with .
Remark 2.
Theorem 3.
For all and with and , we have
and
Proof.
We use the elementary inequality of Minkowski type:
which holds for the complex numbers
Becaude and , we have
for all , .
If we take the supremum over , then we get
which proves the first part of (25).
We know that the following inequality is true for two operators , ; see [36], Theorem 2.27:
Remark 3.
If we take with and choose β, in Theorem 3, then we get
and
3. Lower Bounds
We start with the following main result.
Theorem 4.
For and with we have
and
Proof.
By using the Cauchy–Schwarz inequality for we have
for all
If we take the supremum over , then we get
If then we also have
Therefore,
Now, observing that
and
by (29) we derive (27).
Now, if we replace with and with we get
Observe that
then,
and
Additionally,
and
Moreover,
and by (30) we get
By replacing with and with the inequality in (28) is obtained. □
Remark 4.
Remark 5.
By choosing , , , we can also state the trigonometric inequalities
and
for and .
4. Applications to a Single Operator
For , setting and , we have
By applying Theorem 1 combined with (1) and the properties that and for all , we obtain for that
and
For , we derive
which was established in [36], Corollary 2.16 and
For , we obtain
and
Similarly, by setting and in Theorem 2, we obtain for that
For , we obtain
while for we get
Now, let and consider its -Cartesian decomposition , where and are -selfadjoint operators defined by
It can be seen that
and
By applying Theorem 1 to the -Cartesian decomposition of , combined with (2), (39), and the properties that and for all , we obtain for that
Further, by taking into account (40) and (41), we get
By setting in (42) and (43), we obtain results analogous to those in ([17], Equation (2.29)) and ([36], Corollary 2.18), i.e., we have
and
Similarly, applying Theorem 2 to the -Cartesian decomposition of , for we obtain
For , we obtain
while for we get
For , by proceeding as above and setting and in Theorem 3, we obtain for that
and
for all .
Now, by setting and in Theorem 4, we obtain
and for with , we have
where , , , , , , , , , , and .
Setting and , in (27), we obtain
for and with .
For and , we get
for .
Additionally, setting and in (45), we obtain
From (34) with and , we also have
for and with .
Setting and in this inequality, we obtain
for .
Because , we have
5. Conclusions
In this paper, we have established a series of new inequalities for the -joint numerical radius of operators in the generalized setting of semi-Hilbert spaces. Our primary contributions include the derivation of novel upper and lower bounds for , which refine and extend several known results in operator theory. Key findings include power-dependent inequalities that offer tighter estimations by connecting the -joint numerical radius with the -seminorms and individual -numerical radii of related operators. Furthermore, the application of our main theorems to a single operator and its -adjoint has yielded several new bounds for the standard -numerical radius, providing deeper insights into the properties of operators.
The results presented herein not only advance the study of operator inequalities but also open avenues for further investigation. This work may serve as a foundational starting point for future projects. A natural and significant extension would be the generalization of the -joint numerical radius to higher powers. Investigating and proving novel inequalities for the generalized radius, potentially of the form
for , could lead to a rich new class of inequalities and a more comprehensive understanding of operator behavior. We believe that these potential directions will continue to enrich the theory of operators on semi-Hilbert spaces.
Author Contributions
Writing—original draft, A.B., S.S.D., and K.F.; writing—review and editing, A.B., S.S.D., and K.F. All authors have read and agreed to the published version of the manuscript.
Funding
This work was supported and funded by the Deanship of Scientific Research at Imam Mohammad Ibn Saud Islamic University (IMSIU) (grant number IMSIU-DDRSP2503).
Data Availability Statement
No new data were created or analyzed in this study. Data sharing is not applicable to this article.
Acknowledgments
The authors would like to thank the referees for their thorough review and valuable suggestions, which have greatly improved this paper. This work was supported and funded by the Deanship of Scientific Research at Imam Mohammad Ibn Saud Islamic University (IMSIU) (grant number IMSIU-DDRSP2503).
Conflicts of Interest
The authors declare that they have no competing interests.
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